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PRODID:-//MOVING project - ECPv6.0.3.1//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:MOVING project
X-ORIGINAL-URL:https://moving-project.eu
X-WR-CALDESC:Events for MOVING project
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:UTC
BEGIN:STANDARD
TZOFFSETFROM:+0000
TZOFFSETTO:+0000
TZNAME:UTC
DTSTART:20160101T000000
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BEGIN:VEVENT
DTSTART;TZID=UTC:20160925T080000
DTEND;TZID=UTC:20160928T170000
DTSTAMP:20260801T173253
CREATED:20160921T085215Z
LAST-MODIFIED:20160921T090321Z
UID:826-1474790400-1475082000@moving-project.eu
SUMMARY:MOVING at ICIP 2016
DESCRIPTION:CERTH presents a new machine learning method that takes the input data uncertainty into consideration during training. This method is applicable for various video understanding problems such as video event detection and video aesthetic assessment.
URL:https://moving-project.eu/events/moving-icip-2016/
LOCATION:Phoenix Convention Center\, Phoenix\, AZ\, United States
CATEGORIES:Conference
ATTACH;FMTTYPE=image/png:https://moving-project.eu/wp-content/uploads/2016/09/IP16_SmallLogo.png
END:VEVENT
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